Real-Time Hash Aggregation for Blockchain System With 3D Sensor Network

Abstract

Smart cities work as a platform that utilize the information and communication technology to provide public services efficiently. Smart monitoring is one of the important components for providing public services in smart cities. 3D-image sensing technology such as the light detection and ranging (LIDAR) is a promising means of capturing a public space for smart monitoring. However, 3D-image data may be sensitive as it is related to public safety and law enforcement. Blockchain technology may be a solution to this issue. Prior work presented a framework for hash value aggregation in a 3D sensor network to avoid overflow that occurs when handling 3D-image data generated by LIDAR devices in real time. However, the prior work presented only a theoretical result even though it was based on actual measurements of processing delay; the feasibility of the framework needs to be evaluated with a real implementation using real LIDAR sensor units. On the basis of the prior work, we propose a real system that actually measures the time taken to register the hash values at an edge computer and determines the optimal number of aggregated hash values to avoid overflow in registration on a blockchain network. We demonstrate the effectiveness of the proposed system through an experiment using an actual edge computer and multiple LIDAR sensor units.